摘要： 引入HSV色彩空间，提出一种自动识别字符色泽的算法。用减背景、色泽分析方法进行字符的提取，用投影方法进行单个字符的分割。采用BP网络学习算法，构造了一个3层BP神经网络模型，对数字0~9进行识别。实验表明该方法具有很强的鲁棒性。

关键词: HSV色彩空间, 字符色泽识别, 减背景技术, BP神经网络

Abstract:

This paper introduces HSV color space and an algorithm of automatic recognition character color. By using background subtraction technique and color analysis methods, the positions of characters are found, and characters are segmented with projection algorithm. BP neural network is applied in characters recognition to identify the number 0 to 9. Experimental results show that the proposed scheme is feasible and has great robustness.

Key words: HSV color space, character color recognition, background subtraction technique, BP neural network

中图分类号: 

• TP391.41